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Record W2571280113 · doi:10.1177/1329878x1415100121

Hindsight in 2020? New Zealand's ‘Wait and See’ Approach to Mobile Broadband Regulation

2014· article· en· W2571280113 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedia International Australia · 2014
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsHindsight biasMobile broadbandCompetition (biology)TelecommunicationsBroadbandContext (archaeology)Common value auctionMobile serviceBusinessMobile telephonySpectrum managementEconomicsService (business)MarketingComputer scienceMobile radioWireless

Abstract

fetched live from OpenAlex

New Zealand's Ministry of Business, Innovation and Employment's Review of the Telecommunications Act 2001, released in 2013, highlighted an increased demand for mobile broadband service, particularly in relation to the 700 MHz spectrum auction of 14 January 2014 – space ideal for next-generation 4G or Long Term Evolution (LTE) mobile services. The government seemingly adopted a ‘wait and see’ approach to mobile broadband regulation, however, delaying its development until 2020 when there will be ‘a clearer sense of the impact of new networks and technology’. One can look to Canada to see the need for robust mobile broadband policies. Like New Zealand, Canada has relied primarily upon spectrum auctions to stimulate market competition. The spectrum auction frameworks used there, however, have done little to promote market competition. Applying the lessons learned from Canada to a New Zealand context, this article argues for a more assertive regulatory framework sooner rather than later.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.254
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it